This role pays more than
99%
of similar roles. Most pay
$166,100–$243,250
— the shaded band above.
At the midpoint, this role pays about
$375k
versus about
$205k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
936 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 933 roles with salary data.
Sr Staff Applied Researcher joins the AI Foundations team to drive strategic direction and shape the long-term research agenda for advanced machine learning applications. As an individual contributor leader, you will mentor a team of scientists while collaborating with cross-functional partners to build AI foundation models through every phase of development, including design, training, evaluation, and implementation. You will work with large volumes of numeric and textual data using a technical stack featuring PyTorch, AWS Ultraclusters, Huggingface, and Lightning. The role focuses on translating complex research into tangible business goals by solving problems related to real-time customer experiences in the banking sector. Key expertise includes deep learning models for language, images, events, or graphs, alongside specialized knowledge in training optimization, self-supervised learning, robustness, explainability, and RLHF to improve how customers interact with their money.
Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
Translate complex technical research into tangible business goals for cross-functional stakeholders.
Define and evolve the company’s long-term research agenda by identifying emerging scientific opportunities.
Partner with data scientists, engineers, and product managers to deliver AI-powered products.
Conduct high-impact applied research to integrate state-of-the-art AI developments into customer experiences.
Represent Capital One as an external leader within the academic and professional research community.
Mentor a team of applied scientists and their managers on technical projects and growth.
Develop scalable models using tools like PyTorch, Hugging Face, and cloud computing platforms.
What we're looking for
A PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research.
An M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research.
Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Experience building large deep learning models for language, images, events, or graphs.
Expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, or RLHF.
A track record of delivering models at scale regarding both training data and inference volumes.
A track record of high-quality machine learning ideas demonstrated by first author publications or significant projects.
Experience in delivering libraries, platform level code, or solution level code to existing products.
PhD focus on geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) (preferred).
Multiple papers at KDD, ICML, NeurIPs, ICLR regarding training models on graph and sequential data structures (preferred).
Recognized authority in AI or ML research with demonstrated influence on the evolution of a subfield (preferred).